Systematic analysis of liver cancer metabolism - Lessons from mic | 34705
Journal of Proteomics & Bioinformatics

Journal of Proteomics & Bioinformatics
Open Access

ISSN: 0974-276X

+44 1223 790975

Systematic analysis of liver cancer metabolism - Lessons from mice and humans

7th International Conference on Proteomics & Bioinformatics

October 24-26, 2016 Rome, Italy

Stefan Kempa

Berlin Institute for Medical Systems Biology - MDC Berlin, Germany

Keynote: J Proteomics Bioinform

Abstract :

Metabolic reprogramming is a required step during oncogenesis. It is triggered by activation of oncogenes and loss of tumor suppressors and leads to an activation of central metabolic pathways to support cell growth and proliferation. In order to quantify the usage and activity of metabolic pathways in vitro and in vivo, we have developed pulsed stable isotope resolved metabolomics (pSIRM). The applied GC-MS based technology enables the absolute quantification of metabolites and at the same time the determination of stable isotope incorporation. Using pSIRM, we have characterized the action of inhibitors of glycolysis in cell cultures. We observed that the commonly used compound 2-deoxyglucose is not a specific glycolytic inhibitor, the action of 3-bromopyruvate as glycolytic inhibitor could be confirmed. We next analyzed the metabolic program of hepatocellular carcinoma using quantitative proteomics and in vivo isotope labelling. We further characterized the action of glycolytic inhibitors in a HCC-mouse model. Finally, we compared the metabolic phenotype of HCC between mice and humans.

Biography :

Stefan Kempa is Group Leader at the Berlin Institute for Medical Systems Biology BIMSB at the Max Delbruck Center for Molecular Medicine in Berlin, Germany.